Python memory optimization

In Python, memory management and optimization is a complex topic because it involves the internal mechanisms of the Python interpreter, especially Python’s garbage collection and memory allocation strategies. Python manages memory through an automatic garbage collection mechanism, which mainly includes reference counting and mark-clear algorithms. Python memory management mechanism: 1. Reference counting Python uses reference […]

PaddleNLP Natural Language Processing Knowledge Graph When using uie-x-base, uie-m-large, uie-m-base models, an error Out of memory error on GPU 0 gpu memory is not enough

Hi, I’m @ cargoyouxing I’m interested in … I’m currently learning… ?I’m looking to collaborate on… How to reach me… README directory (continuously updated) Various error handling, crawler practice and templates, Baidu Intelligent Cloud face recognition, computer vision deep learning CNN image recognition and classification, PaddlePaddle natural language processing knowledge graph, GitHub, operation and maintenance… […]

C language memory pool implementation

This article provides an implementation method of efficient memory pool. The memory pool calls the system function malloc in advance to apply for a large area of memory. When used, it applies for memory from the memory pool. After the use is completed, it is released back to the memory pool. The memory block is […]

Detailed description of Java memory barriers and a thorough understanding of volatile

Source: Detailed description of Java memory barriers and a thorough understanding of volatile Directory of series articles [JVM Series] Chapter 1 Runtime Data Area [JVM Interview Questions] Chapter 2 From JDK7 to JDK8, why does the JVM use metaspace to replace the permanent generation? [JVM Interview Questions] Chapter 3 Why is the JVM generation age […]

[C++]: Memory management: C++ memory distribution || Dynamic memory management in C++ (new || delete)

1. C/C++ memory distribution 【illustrate】 1. The stack is also called a stack – non-static local variables/function parameters/return values, etc. The stack grows downwards 2. Memory mapping segment is an efficient I/O mapping method, used to load a shared dynamic memory library. Users can use the system interface to create shared shared memory for inter-process […]

CPU Cache and Memory Barrier

1. CPU cache The origin of cpu cache In all instruction fetch cycles of the CPU (program calculation), the memory needs to be accessed at least once (that is, what we call data on physical memory) It usually requires multiple accesses to the memory to fetch operands or save results. The speed of CPU processing […]

GJO-LSTM-Adaboost optimizes Adaboost classification prediction of long short-term memory neural network LSTM based on the golden jackal algorithm

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

Another look at the Glide image loading library from a memory optimization perspective

Front background As a commonly used image loading framework, Glide has a lot of memory optimizations at the framework level. However, as an image framework, ensuring correctness must be the first priority. Therefore, some additional optimizations can be made in appropriate scenarios at the application layer. , of course you need to understand the problems […]